AI in the supply chain: How data-driven decisions make supply chains more transparent
March 15, 2026
KOMOS at the „Virtual AI Supply Chain Coffee“ of the Federal Association of Logistics
How can companies make informed decisions today in increasingly complex supply chains?
This question was at the heart of „Virtual AI Supply Chain Coffee“ by the Federal Association of Logistics (BVL) – Rhein Regional Group, in which KOMOS together with Centrum-AI he spoke about data-based decision-making processes in the supply chain.
The event brought together experts from logistics, production and supply chain management to discuss how Artificial Intelligence (AI) and data-based analyses can help companies make their supply chains more transparent and controllable.
The central challenge of modern supply chains
An important finding from the workshop was that:
Many companies do not have a data problem – they have a transparency problem.
In practice, numerous information sources are already available:
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ERP systems provide extensive data
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Excel analyses are regularly created
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Experience in purchasing, production and quality is available
Nevertheless, situations arise in many companies such as:
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increasing stocks without a clearly identifiable cause
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Delivery problems that only become visible when they are already critical
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Objective conflicts between purchasing, production planning, and quality
The reason for this is often that Interdependencies within the supply chain are not sufficiently transparent.
Data-based decisions in the supply chain
Modern solutions for Supply Chain Analytics and AI-based decision support begin exactly at this point.
They help companies with:
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Making complex dependencies within the supply chain visible
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Recognizing risks early
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Simulate the effects of decisions
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Making decisions based on transparent data
The workshop showed Center-AI, How AI-powered systems can help companies connect data from various sources and improve decision-making processes in the supply chain.
Transparency as the key to controllable supply chains
The experiences at KOMOS show clearly:
When data becomes transparent, supply chains become controllable.
This not only allows companies to react faster to disruptions, but above all:
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Better understanding of the causes of problems
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Targeted tax collections
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make informed cross-departmental decisions
Especially in complex production and supply networks, Transparency becomes a crucial competitive factor.
What this means in practice is something we are experiencing ourselves at KOMOS.
In the past, ordering decisions in purchasing were primarily based on experience data and manually maintained Excel lists – functional but prone to errors. Today, we connect shopfloor data, inventory levels, and supplier information into a common system and make inventory decisions based on current data rather than gut instinct. The result: fewer surprises, faster response to bottlenecks – and a purchasing process that no longer lags behind but anticipates the future.
Exchange between practice and technology
KOMOS thanks the Federal Association of Logistics – Regional Group Rhineland for the organization of Virtual AI Supply Chain Coffee as well as Center-AI and to all participants for the open and exciting exchange.
The dialogue between business operators, technology providers and logistics experts is an important step towards Further developing innovative approaches for the digital and data-based control of supply chains.
Would you like to learn how data-based decisions can make your supply chain more transparent and controllable?
Feel free to contact us. Together, we will analyze your processes and show how greater transparency in the supply chain can lead to better decisions.
👉 Contact us for a non-binding discussion.
